An interactive Ascend-NPU process viewer
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Updated
May 6, 2026 - Python
An interactive Ascend-NPU process viewer
A general-purpose real-time streaming media and deep learning inference acceleration framework, supporting H264, H265, AAC, MP4, FLV, RTSP, RTMP, and YOLO.实时流媒体及深度学习推理加速通用处理框架,支持H264、H265、AAC、MP4、FLV、RTSP、RTMP、YOLO。
TileXR (eXtreme Rendezvous for Asynchronous Tile Communication) is a data-centric asynchronous communication runtime for Huawei Ascend NPUs.
Ascend NPU fork of nanochat for LLM training with torch_npu/HCCL (experimental)
Run nanochat training efficiently on Huawei Ascend NPUs with minimal code changes, supporting tokenizer, pretraining, and evaluation workflows.
A repository to store neural network test code.
Cholesky decomposition reference implementation on Ascend NPU
Minimal runnable Ascend C (CANN) operator examples on cannsim card-free (no-NPU) CAModel simulation
Automated GLM interaction detection via CANN, NID scores, and SHAP interaction values for insurance pricing.
Predicting California house prices with MindSpore
Deploy GLM-4.6V-Flash (9B dense VLM) on Huawei Ascend 910B NPU with vLLM - multimodal, OpenAI API, single/dual-card serving, reproducible benchmarks.
Linear classification of CIFAR-10 dataset with MindSpore
Read-only mirror of https://gitcode.com/donaldsebleung/my-ascend-notebook-images
Read-only mirror of https://gitcode.com/donaldsebleung/my-ascend-gitops
Read-only mirror of https://gitcode.com/donaldsebleung/my-ascend-notebooks
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